Biomarker Threshold Optimization

Biomarker Threshold Optimization is a methodological framework in precision medicine that determines the optimal cutoff value for a biomarker to guide therapeutic decisions by balancing clinical sensitivity, specificity, and treatment outcomes.

13

Publications

1.7K

Citations

71

Authors

30

Institutions

Publications per year

2017–2026

8

Authors

71

  1. MÁ
    Miguel Á. Vega-Rodríguez

    Universidad de Extremadura, Spain

    1 publications · 18 citations

    1

    h-index

  2. HY
    Han Yu

    Roswell Park Comprehensive Cancer Center, United States

    1 publications · 14 citations

    1

    h-index

  3. MH
    Man‐Jen Hsu

    Institute of Statistical Science, Academia Sinica, Taiwan

    1 publications · 23 citations

    1

    h-index

  4. SW
    Sook‐Young Woo

    Sungkyunkwan University, South Korea

    1 publications · 46 citations

    1

    h-index

  5. HM
    Howard Mackey

    Johns Hopkins University, United States

    1 publications · 19 citations

    1

    h-index

1–5 of 71

Venues

  1. Statistical Methods in Medical Research

    1 publications · 30 citations

    1

    h-index

  2. Epidemiology

    1 publications · 1.2K citations

    1

    h-index

  3. Journal of Neuro-Oncology

    1 publications · 49 citations

    1

    h-index

  4. Oral Oncology

    1 publications · 14 citations

    1

    h-index

  5. Contemporary Clinical Trials

    1 publications · 19 citations

    1

    h-index

1–5